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Remote Data Transformation Jobs in New York (NOW HIRING)

Data Engineer

New York, NY ยท Remote

$140K - $180K/yr

Familiarity with common data transformation patterns applied to large datasets (ETL/ELT, batch and ... Remote Fridays * Happy Hours and other local events Compensation Range: $140K - $180K

Data Engineer

New York, NY ยท On-site +1

$140K - $180K/yr

Familiarity with common data transformation patterns applied to large datasets (ETL/ELT, batch and ... Remote Fridays * Happy Hours and other local events

Data Engineer

New York, NY ยท Remote

$140K - $180K/yr

Familiarity with common data transformation patterns applied to large datasets (ETL/ELT, batch and ... Remote Fridays * Happy Hours and other local events Compensation Range: $140K - $180K

Data QA

New York, NY ยท Remote

$117K - $140K/yr

Validate data transformations, ingestion, and processing across Databricks, AWS EMR, and Spark ... Strong communication skills and ability to work in a remote, collaborative environment.

Senior Analytics Engineer

New York, NY ยท On-site +1

$126K - $180K/yr

Optimize SQL transformations and data models for performance, scalability, and maintainability ... Employees who do not live near one of our hubs are part of our remote workforce. All employees ...

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Remote Data Transformation information

What are some common challenges faced in a remote data transformation role and how can they be addressed?

In a remote data transformation role, common challenges include managing large data sets across multiple platforms, ensuring data quality, and maintaining clear communication with distributed teams. Working remotely can make it harder to quickly clarify requirements or spot inconsistencies, so adopting strong documentation practices and regular check-ins are essential. Utilizing collaborative tools for version control, data sharing, and workflow management helps streamline processes and reduce errors. Proactively communicating progress and blockers with cross-functional teams ensures alignment and timely project delivery.

What is the difference between Remote Data Transformation vs Remote Data Analyst?

AspectRemote Data TransformationRemote Data Analyst
Primary RoleDesigning, developing, and implementing data transformation processesAnalyzing data to identify trends, generate reports, and support decision-making
Skills & CertificationsSQL, ETL tools, data modeling, scripting languagesExcel, SQL, data visualization tools, statistical knowledge
Work EnvironmentData engineering teams, cloud platforms, data warehousesBusiness units, analytics teams, reporting platforms
Industry UsageData engineering, software development, cloud servicesBusiness intelligence, marketing, finance

Remote Data Transformation specialists focus on creating and managing data pipelines and transforming raw data into usable formats. In contrast, Remote Data Analysts interpret data to generate insights and support strategic decisions. Both roles require strong technical skills, but their core responsibilities differ in focus and output.

What are the key skills and qualifications needed to thrive as a remote data transformation specialist?

A Remote Data Transformation Specialist needs strong analytical abilities, proficiency in data management, and a solid understanding of databases and data modeling, often supported by a degree in computer science, information systems, or related fields. Familiarity with ETL (Extract, Transform, Load) tools, SQL, and cloud-based data platforms like AWS or Azure is typically required, along with relevant certifications such as AWS Certified Data Analytics. Excellent problem-solving skills, attention to detail, and effective remote communication are vital soft skills for collaborating with distributed teams. These competencies ensure accurate, efficient data processing and integration, which are crucial for data-driven decision-making in modern organizations.

What is a remote data transformation?

A Remote Data Transformation job involves converting, cleaning, and organizing data from one format or structure to another, all while working from a remote location. Professionals in this role use various tools and programming languages, such as SQL, Python, or ETL platforms, to ensure data is accurate, consistent, and usable for analytics or business processes. They often collaborate with data engineers, analysts, and other stakeholders to understand data requirements and deliver high-quality transformed datasets. This role is crucial for organizations that rely on data-driven decision-making and need to integrate information from multiple sources.
What are the most commonly searched types of Data Transformation jobs in New York? The most popular types of Data Transformation jobs in New York are:
What are popular job titles related to Remote Data Transformation jobs in New York? For Remote Data Transformation jobs in New York, the most frequently searched job titles are:
What job categories do people searching Remote Data Transformation jobs in New York look for? The top searched job categories for Remote Data Transformation jobs in New York are:
What cities in New York are hiring for Remote Data Transformation jobs? Cities in New York with the most Remote Data Transformation job openings:

Senior Data Engineer - Remote

NAVA Software Solutions

Jersey City, NJ โ€ข On-site, Remote

$116K - $157K/yr

Full-time

Re-posted 2 days ago


Job description

NAVA Software is looking for a Senior Data Engineer
Details:
Senior Data Engineer
Location: Remote
Duration: 6 months CTH
Position Summary:
The Senior Data Engineer leads complex data engineering projects, working on designing data architectures that align with business requirements. This role focuses on optimizing data workflows, managing data pipelines, and ensuring the smooth operation of data systems.
Minimum Qualifications:
  • 8+ Years overall IT experience with minimum 5 years of work experience in below tech skills
  • Strong experience in Python Scripting and PySpark for data processing
  • Proficiency in SQL, dealing with big data over Informatica ETL
  • Proven experience in Data quality and data optimization of data lake in Iceberg format, with strong understanding of architecture
  • Experience in AWS cloud platform and its data services (S3, Redshift, Lambda, EMR, Airflow, Postgres, SNS, Event bridge)
  • Expertise in BASH/Shell scripting
  • Experience in Data Build Tool (DBT) or similar data transformation tools
  • Experience in Mulesoft API
  • Nice to have: Kafka, Tableau
  • Strong understanding of healthcare data systems and experience leading data engineering teams
  • Experience in Agile environments.
  • Excellent problem-solving skills and attention to detail.
  • Effective communication and collaboration skills.

Responsibilities:
  • Leads development of data pipelines and architectures that handle large-scale data sets.
  • Designs, constructs, and tests data architecture aligned with business requirements.
  • Provides technical leadership for data projects, ensuring best practices and high-quality data solutions.
  • Collaborates with product, finance, and other business units to ensure data pipelines meet business requirements.
  • Work with DBT (Data Build Tool) for transforming raw data into actionable insights.
  • Oversees development of data solutions that enable predictive and prescriptive analytics.
  • Ensures the technical quality of solutions, managing data as it moves across environments.
  • Aligns data architecture to Healthfirst solution architecture.

NAVA Software Solutions logo

About NAVA Software Solutions

Sourced by ZipRecruiter

NAVA is a strategic partner for companies seeking to develop or customize software and products. Our team of experts leverages cutting-edge technology and deep industry knowledge to provide customized solutions that drive business success. Whether you're looking to improve your operations, increase efficiency, or bring a new product to market, NAVA has the expertise and resources to help you achieve your goals. Trust us to be your partner in software and product development.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Rocky Hill, CT, US

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